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Feature selection for data and patte...

Stanczyk, Urszula.

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Feature selection for data and pattern recognition

Record Type:	Electronic resources : Monograph/item
Title/Author:	Feature selection for data and pattern recognition/ edited by Urszula Stanczyk, Lakhmi C. Jain.
other author:	Stanczyk, Urszula.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
Description:	xviii, 355 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Feature Selection for Data and Pattern Recogniton: an Introduction -- Part I Estimation of Feature Importance -- Part II Rough Set Approach to Attribute Reduction -- Part III Rule Discovery and Evaluation -- Part IV Data- and Domain-oriented Methodologies.
Contained By:	Springer eBooks
Subject:	Pattern recognition systems. -
Online resource:	http://dx.doi.org/10.1007/978-3-662-45620-0
ISBN:	9783662456200 (electronic bk.)

Feature selection for data and pattern recognition
Feature selection for data and pattern recognition[electronic resource] /edited by Urszula Stanczyk, Lakhmi C. Jain. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xviii, 355 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.5841860-949X ;. - Studies in computational intelligence ;v.379..

Feature Selection for Data and Pattern Recogniton: an Introduction -- Part I Estimation of Feature Importance -- Part II Rough Set Approach to Attribute Reduction -- Part III Rule Discovery and Evaluation -- Part IV Data- and Domain-oriented Methodologies.

This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies.

ISBN: 9783662456200 (electronic bk.)

Standard No.: 10.1007/978-3-662-45620-0doiSubjects--Topical Terms:

527885
Pattern recognition systems.

LC Class. No.: TK7882.P3

Dewey Class. No.: 006.4

Feature selection for data and pattern recognition
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245 0 0 $a Feature selection for data and pattern recognition $h [electronic resource] / $c edited by Urszula Stanczyk, Lakhmi C. Jain.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a xviii, 355 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.584
505 0 $a Feature Selection for Data and Pattern Recogniton: an Introduction -- Part I Estimation of Feature Importance -- Part II Rough Set Approach to Attribute Reduction -- Part III Rule Discovery and Evaluation -- Part IV Data- and Domain-oriented Methodologies.
520 $a This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies.
650 0 $a Pattern recognition systems. $3 527885
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650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Stanczyk, Urszula. $3 2133481
700 1 $a Jain, Lakhmi C. $3 893365
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950 $a Engineering (Springer-11647)